Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
OpenClaw Memory
Session-first memory curator for OpenClaw. Keeps RAM clean, recall precise, and durable knowledge safe.
skill openclawclawhub Free
Session-first memory curator for OpenClaw. Keeps RAM clean, recall precise, and durable knowledge safe.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 2.1.0
Provenance
- Publisher
- WeAreAllSatoshiN
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
OpenClaw Memory Curator
A session-first memory system for OpenClaw. It exists for one reason: important knowledge must survive session compaction without bloating the context window.
TL;DR (for humans)
Session memory = temporary (RAM) Disk = source of truth Decisions & preferences β MEMORY.md Daily work β memory/YYYY-MM-DD.md This skill saves durable knowledge before compaction Retrieval always happens via memory_search β memory_get If something matters later, write it to disk. β οΈ CRITICAL REQUIREMENT Session memory indexing must be enabled.
Enable Session Memory
CLI clawdbot config set agents.defaults.memorySearch.experimental.sessionMemory true JSON { "agents": { "defaults": { "memorySearch": { "experimental": { "sessionMemory": true }, "sources": ["memory", "sessions"] } } } }
Mental Model (read this once)
OpenClaw memory has three layers. Confusion usually comes from mixing them up.
1. Session Memory (RAM)
Lives in the current conversation Automatically compacted Indexed for retrieval Never reliable long-term π Treat as short-term thinking space.
2. Daily Logs (memory/YYYY-MM-DD.md)
Append-only What happened today Commands, edits, short-lived issues π Treat as a work log, not a knowledge base.
3. Long-Term Memory (MEMORY.md)
Curated Small High-signal only Indexed and retrievable π Treat as facts the agent must not forget.
Write to MEMORY.md if it would still be true next week.
Examples: Decisions Preferences Invariants Policies
Write to daily logs if it helps understand today.
Examples: Refactors Experiments Temporary blockers If unsure: write to daily log first, promote later.
Pre-Compaction Flush (why this exists)
Before OpenClaw compacts the session, it triggers a silent reminder. This skill uses that moment as a Save Game checkpoint.
What happens:
Durable knowledge is extracted Daily notes are written to todayβs log Durable items are promoted to MEMORY.md Agent replies NO_REPLY (user never sees this) This prevents knowledge loss without interrupting you.
Durable Memory Format (MEMORY.md)
Use IDs and tags so search works reliably. ## DEC-2026-02-04-01 type: decision area: memory Decision: Session memory is retrieval-only. Disk is the source of truth. Reason: Session compaction is lossy. Disk memory is stable.
ID prefixes
DEC β Decisions PREF β Preferences FACT β Durable facts POLICY β Rules / invariants
Retrieval Strategy (how agents should recall)
Use memory_search (max ~6 results) Pick the best 1β2 hits Use memory_get with line ranges Inject the minimum text required This keeps context small and precise.
Agent Playbook (rules for agents)
Prefer disk over RAM Prefer MEMORY.md over daily logs for facts Use search before asking the user again Never copy raw chat into memory Write memory explicitly, do not assume it sticks
Anti-Patterns (do not do these)
β Copy chat transcripts into memory β Store secrets or credentials β Treat daily logs as long-term memory β Overwrite memory files instead of appending β Store speculation as fact
Privacy Rules
Never store secrets (API keys, tokens, passwords) Ignore anything inside <private>...</private> If sensitive info exists: store only that it exists, not the value
Retention & Cleanup
Default: no deletion Disk is cheap Recall quality is expensive Optional: Move old daily logs to memory/archive/YYYY-MM/ Only prune after durable knowledge is verified
Usage (human-friendly)
Examples that work well: βStore this as a durable decision.β βThis is a preference, remember it.β βWrite this to todayβs log.β
Design Philosophy
Disk is truth RAM is convenience Retrieval beats retention Fewer tokens > more tokens Memory should earn its place
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md